Show simple item record

dc.contributor.authorVilhuber, Lars
dc.contributor.authorKinney, Saki
dc.contributor.authorSchmutte, Ian M.
dc.date.accessioned2017-09-27T21:13:29Z
dc.date.available2017-09-27T21:13:29Z
dc.date.issued2017-09-22
dc.identifier.urihttps://hdl.handle.net/1813/52472
dc.description.abstractOn May 9, 2017, we hosted a seminar to discuss the conditions necessary to implement the SynLBD approach with interested parties, with the goal of providing a straightforward toolkit to implement the same procedure on other data. The proceedings summarize the discussions during the workshop.en_US
dc.description.sponsorshipFunding for the workshop was provided by the National Science Foundation (Grants 1012593; 1131848) and the Alfred P. Sloan Foundation (G-2015-13903). Organizational support was provided by the Labor Dynamics Institute at Cornell University.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectsynthetic LBDen_US
dc.subjectconfidentialityen_US
dc.subjectbusiness dataen_US
dc.subjectestablishment dataen_US
dc.titleProceedings from the Synthetic LBD International Seminaren_US
dc.typereporten_US
dc.description.legacydownloadsDownloads for this item at https://digitalcommons.ilr.cornell.edu/ldi/44/ as of 9/11/2020: 66


Files in this item

Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International

Statistics